Innovating Works

WATEREYE

Financiado
O M tools integrating accurate structural health in offshore energy
Operation & Maintenance (O&M) costs are the main cost driver in offshore energy due to the difficult accessibility to the WTs, but also due to the environmental conditions. O&M costs can account for up to 30% of the levelised cost... Operation & Maintenance (O&M) costs are the main cost driver in offshore energy due to the difficult accessibility to the WTs, but also due to the environmental conditions. O&M costs can account for up to 30% of the levelised cost of energy (LCOE) and sensing & monitoring systems could help attain the expected fall to 70 EUR/MWh by 2030. The highest criticality (in €/kWh) in offshore wind is caused by structural failure, that mainly occurs due to corrosion processes non-adequately neither predicted nor monitored. For that reason, it is crucial to implement new monitoring, diagnosis, prognosis and control tools into the offshore wind farms (WFs) to enable Wind Farm Operators (WFOs) to take predictive smart O&M decisions fully considering structural components real and future status. WATEREYE aims to develop an integral solution that will allow to WFOs a 4% reduction of OPEX, accurately predicting the need for future maintenance strategy and increasing the offshore wind annual energy production. To this end, WATEREYE will: 1/ develop a monitoring system capable of remotely estimating the corrosion level in exact WT locations (tower, splash-zone, tower-platform junction) as a supporting tool for predictive maintenance to considerably reduce the O&M costs and reduce the risk for operation failures; New Ultrasound corrosion sensors (ad-hoc, low-cost, high accuracy, fast-response, non-invasive) will be developed, as well as high efficient and robust wireless communications specifically conceived for offshore WTs hard communicating environment. Besides, a novel drone-based mobile platform to move one mobile sensor inside the WT tower will be developed. 2/ develop enhanced prediction models by analysing the acquired data in novel ways (semantic models); 3/ develop WT & WF control algorithms with accurate consideration of the structural health, giving operators freedom to choose the best balance between energy production, protective control, and predictive maintenance. ver más
31/10/2022
CEIT
5M€
Duración del proyecto: 36 meses Fecha Inicio: 2019-10-18
Fecha Fin: 2022-10-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2022-10-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
LC-SC3-RES-14-2019: Optimising manufacturing and system operation
Cerrada hace 6 años
Presupuesto El presupuesto total del proyecto asciende a 5M€
Líder del proyecto
ASOCIACIÓN CENTRO TECNOLÓGICO CEIT No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 2-3 10M